Spaces:
Running
on
Zero
Running
on
Zero
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,5 +8,73 @@ sdk_version: 4.39.0
|
|
| 8 |
app_file: app.py
|
| 9 |
pinned: false
|
| 10 |
---
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
app_file: app.py
|
| 9 |
pinned: false
|
| 10 |
---
|
| 11 |
+
# Video-to-Audio Generation with Hidden Alignment
|
| 12 |
+
Manjie Xu, Chenxing Li, Yong Ren, Rilin Chen, Yu Gu, Wei Liang, Dong Yu
|
| 13 |
+
Tencent AI Lab
|
| 14 |
|
| 15 |
+
<a href='https://arxiv.org/abs/2407.07464'>
|
| 16 |
+
<img src='https://img.shields.io/badge/Paper-Arxiv-green?style=plastic&logo=arXiv&logoColor=green' alt='Paper Arxiv'>
|
| 17 |
+
</a>
|
| 18 |
+
<a href='https://sites.google.com/view/vta-ldm/home'>
|
| 19 |
+
<img src='https://img.shields.io/badge/Project-Page-blue?style=plastic&logo=Google%20chrome&logoColor=blue' alt='Project Page'>
|
| 20 |
+
</a>
|
| 21 |
+
|
| 22 |
+
Generating semantically and temporally aligned audio content in accordance with video input has become a focal point for researchers, particularly following the remarkable breakthrough in text-to-video generation. We aim to offer insights into the video-to-audio generation paradigm.
|
| 23 |
+
|
| 24 |
+
## Install
|
| 25 |
+
First install the python requirements. We recommend using conda:
|
| 26 |
+
|
| 27 |
+
```
|
| 28 |
+
conda create -n vta-ldm python=3.10
|
| 29 |
+
conda activate vta-ldm
|
| 30 |
+
pip install -r requirements.txt
|
| 31 |
+
```
|
| 32 |
+
Then download the checkpoints from [huggingface](https://huggingface.co/ariesssxu/vta-ldm-clip4clip-v-large), we recommend using git lfs:
|
| 33 |
+
```
|
| 34 |
+
mkdir ckpt && cd ckpt
|
| 35 |
+
git clone https://huggingface.co/ariesssxu/vta-ldm-clip4clip-v-large
|
| 36 |
+
# pull if large files are skipped:
|
| 37 |
+
cd vta-ldm-clip4clip-v-large && git lfs pull
|
| 38 |
+
```
|
| 39 |
+
|
| 40 |
+
## Model List
|
| 41 |
+
- ✅ VTA_LDM (the base model)
|
| 42 |
+
- 🕳️ VTA_LDM+IB/LB/CAVP/VIVIT
|
| 43 |
+
- 🕳️ VTA_LDM+text
|
| 44 |
+
- 🕳️ VTA_LDM+PE
|
| 45 |
+
- 🕳️ VTA_LDM+text+concat
|
| 46 |
+
- 🕳️ VTA_LDM+pretrain+text+concat
|
| 47 |
+
|
| 48 |
+
## Inference
|
| 49 |
+
Put the video pieces into the `data` directory. Run the provided inference script to generate audio content from the input videos:
|
| 50 |
+
```
|
| 51 |
+
bash inference_from_video.sh
|
| 52 |
+
```
|
| 53 |
+
You can custom the hyperparameters to fit your personal requirements. We also provide a script that can help merge the generated audio content with the original video based on ffmpeg:
|
| 54 |
+
|
| 55 |
+
```
|
| 56 |
+
bash tools/merge_video_audio
|
| 57 |
+
```
|
| 58 |
+
## Training
|
| 59 |
+
TBD. Code Coming Soon.
|
| 60 |
+
|
| 61 |
+
## Ack
|
| 62 |
+
This work is based on some of the great repos:
|
| 63 |
+
[diffusers](https://github.com/huggingface/diffusers)
|
| 64 |
+
[Tango](https://github.com/declare-lab/tango)
|
| 65 |
+
[Audioldm](https://github.com/haoheliu/AudioLDM)
|
| 66 |
+
|
| 67 |
+
## Cite us
|
| 68 |
+
```
|
| 69 |
+
@misc{xu2024vta-ldm,
|
| 70 |
+
title={Video-to-Audio Generation with Hidden Alignment},
|
| 71 |
+
author={Manjie Xu and Chenxing Li and Yong Ren and Rilin Chen and Yu Gu and Wei Liang and Dong Yu},
|
| 72 |
+
year={2024},
|
| 73 |
+
eprint={2407.07464},
|
| 74 |
+
archivePrefix={arXiv},
|
| 75 |
+
url={https://arxiv.org/abs/2407.07464},
|
| 76 |
+
}
|
| 77 |
+
```
|
| 78 |
+
## Disclaimer
|
| 79 |
+
|
| 80 |
+
This is not an official product by Tencent Ltd.
|